Show Summary Details

Page of

PRINTED FROM OXFORD HANDBOOKS ONLINE (www.oxfordhandbooks.com). © Oxford University Press, 2018. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a title in Oxford Handbooks Online for personal use (for details see Privacy Policy and Legal Notice).

date: 08 December 2019

Abstract and Keywords

Self-reports are used in the assessment of potential predictors for employee selection and placement, most notably personal and work background, and personality. Sophisticated methods exist for the development of quantitative multiitem scales that can demonstrate acceptable reliability and evidence for construct validity. One concern with such scales is the possibility of biases that might distort relationships with other variables, as well as the possibility of common method variance when predictor and criterion are both assessed with self-reports. A concern specifically with personality tests in a selection context is the possibility that applicants will fake their responses. Although there is evidence that faking exists, there is no consensus about the impact it might have on test validity or the accuracy of selection decisions. Factor analysis can provide evidence that a set of scale items reflects multiple constructs, but artifactual factors can be caused by the nature of items rather than the constructs they reflect. Finally, a distinction has been made between scales in which each item is a parallel measure intended to assess the same underlying construct (reflective indicator scale) and those in which items assess different things that are combined into an index (formative indictor scale). Despite limitations, self-reports can be useful tools to assess important predictors, as well as criteria, in selection applications.

Keywords: construct validity, faking, measurement bias, scale development, self-report, common method variance

Access to the complete content on Oxford Handbooks Online requires a subscription or purchase. Public users are able to search the site and view the abstracts and keywords for each book and chapter without a subscription.

Please subscribe or login to access full text content.

If you have purchased a print title that contains an access token, please see the token for information about how to register your code.

For questions on access or troubleshooting, please check our FAQs, and if you can''t find the answer there, please contact us.